ItemBook Chapter

Humancomputer interaction for cognitive, emotional and learning well-being

Title
Humancomputer interaction for cognitive, emotional and learning well-being
Creator
Upreti, Kamal; Kumari, Puja; Shankar, Uma; Radhakrishnan, G.; Udhaya, S.K.; Malik, Khushboo
Description
HumanComputer Interaction (HCI) has revolutionized the way humans engage with technology, shaping cognitive, emotional, and learning experiences. This chapter explores HCI's impact on well-being, focusing on cognitive load reduction, emotional stability, and adaptive learning. HCI technologies such as AI-driven decision support, emotion-aware systems, and personalized education platforms enhance user engagement by fostering efficiency and well-being. Cognitive well-being benefits from AI-powered cognitive tools that improve memory, decision-making, and mental agility. Emotional well-being is facilitated by affect-sensitive systems, digital therapeutics, and social HCI that reduce stress and increase emotional engagement. Adaptive learning systems, gamification, and assistive technologies also ensure inclusive education by making learning more personalized and accessible to special needs students. Future HCI trends involve neuroadaptive interfaces, wearable-integrated health technology, and AI-based mental health solutions that all improve personalization and user experience. Yet ethical issues, such as data privacy, digital addiction, and algorithmic biases, need to be addressed in order to maintain responsible technology utilization. Achieving balance between digital and physical interactions is important in the preservation of general well-being. The future of HCI, where it becomes empathetic, adaptive, and ethical interfaces, is a future that sees technology enhance not just efficiency but cognitive, emotional, and learning well-being. By making ethical AI design and user-centric experiences a priority, HCI will continue to unleash human potential and develop durable, well-being-oriented technological solutions. 2026 Elsevier Inc. All rights reserved.
Source
Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction;pp.43-65
Date
01-01-2025
Publisher
Elsevier
Subject
Adaptive learning; AI-Driven systems; Cognitive well-being; Emotion-aware technology; Emotional well-being; Humancomputer interaction (HCI)
Coverage
Upreti K., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Kumari P., Department of Psychology and Mental Health, Gautam Buddha University, Uttar Pradesh, Greater Noida, India; Shankar U., Ramcharan School of Leadership, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Radhakrishnan G., KIIT, Kalinga School of Management, Odisha, Bhubaneswar, India; Udhaya S.K., Department of Computer Science and Engineering, Easwari Engineering College, Tamil Nadu, Chennai, India; Malik K., School of Law, Christ University, Delhi NCR, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-044341660-6; 978-044341661-3;
Format
online
Language
English
Type
Book chapter

Citation

Upreti, Kamal; Kumari, Puja; Shankar, Uma; Radhakrishnan, G.; Udhaya, S.K.; Malik, Khushboo, “Humancomputer interaction for cognitive, emotional and learning well-being,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24247.

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